RT info:eu-repo/semantics/conferenceObject
T1 Vulnerability of cyclists on the road. A probabilistic analysis of the database of traffic injuries in Spain focusing on type of involved vehicle and driver culpability
A1 García Herrero, Susana
A1 Aldred, Rachel
A1 Anaya Boig, Esther
A1 Mariscal Saldaña, Miguel Ángel
K1 Road injuries
K1 Driver behaviour
K1 Bayesian network
K1 Cyclists
K1 Vehicle type
K1 Culpability
K1 Transporte
K1 Transportation
AB The goal of this research is to explore the role of the collision partner – vehicle type and driver culpability – in incidents involving injuries to people cycling. Previous research has explored a range of factors affecting cyclist injury severity, but were more frequently focused on cyclist behaviour and/or road conditions.The database for our study includes a total of 12,318 drivers or riders of any vehicles involved in traffic injuries with victims in Spain in 2016, of which 7,488 are injured bicycle riders. The database used in our research was provided by Spain's National Traffic Department (Dirección General de Tráfico - DGT).This research uses Bayesian machine learning techniques. These have been recently used to study the severity of traffic injuries, since they provide a sound methodology for analyzing their causes and risks and predicting the probability of traffic injuries with serious injuries or fatalities.We have found proof that involvement of heavy vehicles substantially increases the likelihood of cyclists being killed or seriously injured, and that drivers are more likely than cyclists to be held responsible for the injury.
YR 2019
FD 2019
LK http://hdl.handle.net/10259/5245
UL http://hdl.handle.net/10259/5245
LA eng
NO Trabajo presentado en: 29th European Safety and Reliability Conference (ESREL), 22–26 September 2019, Hannover
DS Repositorio Institucional de la Universidad de Burgos
RD 26-abr-2024